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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert-cvs-estimation-years-experience |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-cvs-estimation-years-experience |
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This model is a fine-tuned version of [jhonparra18/bert-base-cased-cv-studio_name-medium](https://huggingface.co/jhonparra18/bert-base-cased-cv-studio_name-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 9.4494 |
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- Mse: 9.4494 |
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- Mae: 2.0686 |
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- R2: 0.4131 |
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- Accuracy: 0.2586 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:--------:| |
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| No log | 10.34 | 300 | 10.5131 | 10.5131 | 2.2140 | 0.3470 | 0.2759 | |
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| 3.3802 | 20.69 | 600 | 9.1915 | 9.1915 | 2.0780 | 0.4291 | 0.2759 | |
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| 3.3802 | 31.03 | 900 | 8.8261 | 8.8261 | 1.9359 | 0.4518 | 0.2931 | |
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| 0.1613 | 41.38 | 1200 | 9.4494 | 9.4494 | 2.0686 | 0.4131 | 0.2586 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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